Results 71 to 80 of about 14,917 (205)

A Review of Energy Management Strategies for Hybrid Electric Vehicles

open access: yesEnergy Science &Engineering, EarlyView.
This review systematically categorizes energy management strategies (EMS) for hybrid electric vehicles, highlighting rule‐based, optimization‐based, learning‐based, and emerging algorithm‐mixing approaches. It provides a comprehensive roadmap for developing intelligent control systems to enhance energy efficiency and promote sustainable transportation.
Song Gao   +9 more
wiley   +1 more source

Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training

open access: yes, 2006
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influenced by several "strategy parameters".
Meissner, Michael   +11 more
core   +1 more source

Genetic algorithm assisted HIDMS-PSO: a new hybrid algorithm for global optimisation

open access: yes, 2021
In this paper, a new hybrid algorithm, GA-HIDMS-PSO, is introduced by hybridising the state-of-the-art particle swarm optimisation (PSO) variant, the heterogeneous improved dynamic multi-swarm PSO (HIDMS-PSO) with a genetic algorithm (GA). The new hybrid
Fevzi Tugrul Varna (5677724)   +1 more
core   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

Source bearing and steering-vector estimation using partially calibrated arrays

open access: yes, 2009
The problem of source direction-of-arrival (DOA) estimation using a sensor array is addressed, where some of the sensors are perfectly calibrated, while others are uncalibrated. An algorithm is proposed for estimating the source directions in addition to
Lu, Y., Li, M.
core   +1 more source

Multiobjective Simulation–Optimization of Crop Allocation and Water Resources in Canal Command Areas Using Genetic Algorithms

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra   +2 more
wiley   +1 more source

Unleashing the power of visible‐near infrared spectroscopy: predicting Golden Delicious apple enzyme activity

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Enzymatic browning is a significant reaction in fruits that affects their color, appearance, and quality. The quality of apples, as a perishable product, is mainly influenced by the activity of two browning‐related enzymes, polyphenol oxidase (PPO) and peroxidase (POD), during storage.
Tarahom Mesri Gundoshmian   +5 more
wiley   +1 more source

DERMACLEAR: AI‐Powered Insights Into Four Chronic Inflammatory Skin Diseases in Spain

open access: yesJEADV Clinical Practice, EarlyView.
Using an AI‐enhanced analysis of electronic health records from nearly 50,000 patients, the DERMACLEAR study provides real‐world insights into the prevalence, clinical complexity, comorbidities and treatment patterns of HS, CU, PsO and AD in Spain.
Ana Giménez‐Arnau   +11 more
wiley   +1 more source

A new sequential covering strategy for inducing classification rules with ant colony algorithms [PDF]

open access: yes, 2012
Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorithm ...
Otero, Fernando E. B.   +3 more
core   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah   +2 more
wiley   +1 more source

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